In this chapter, we describe our question answering system, which was the winning system at the Human-Computer Question Answering (HCQA) Competition at the Thirty-first Annual Conference on Neural Information Processing Systems (NIPS). The competition requires participants to address a factoid question answering task referred to as quiz bowl. To address this task, we use two novel neural network models and combine these models with conventional information retrieval models using a supervised machine learning model. Our system achieved the best performance among the systems submitted in the competition and won a match against six top human quiz experts by a wide margin.
Cite
@article{arxiv.1803.08652,
title = {Studio Ousia's Quiz Bowl Question Answering System},
author = {Ikuya Yamada and Ryuji Tamaki and Hiroyuki Shindo and Yoshiyasu Takefuji},
journal= {arXiv preprint arXiv:1803.08652},
year = {2018}
}
Comments
This is a preprint of a springer book chapter from NIPS 2017 Competitions proceedings